Fang, Y., Liu, R., Huang, H., Zhao, P. and Wu, Q. (2024) 'A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference'.ACM International Conference on Information and Knowledge Management (CIKM). Boise, ID, USA. 21 - 25 October. ACM. pp. 602 - 611.

Liu, R., Liu, H., Huang, H., Song, B. and Wu, Q. (2023) 'Multimodal multiscale dynamic graph convolution networks for stock price prediction'. Pattern Recognition, 149 (May 2024). pp. 1 - 14. ISSN: 0031-3203 Open Access Link

Gala, J., Nag, S., Huang, H., Liu, R. and Zhu, X. (2023) 'Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding'.Neural Information Processing Systems (NeurIPS) Workshop on Tackling Climate Change with Machine Learning. New Orleans, LA, USA.Open Access Link

Chen, H., Yin, P., Huang, H., Wu, Q., Liu, R. and Zhu, X. (2023) 'Typhoon Intensity Prediction with Vision Transformer'.Neural Information Processing Systems (NeurIPS) Workshop on Tackling Climate Change with Machine Learning. New Orleans, LA, USA.Open Access Link

Li, X., Liu, R., Huang, H. and Wu, Q. (2023) 'Contrastive Learning for Target Speaker Extraction with Attention-based Fusion'. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32. pp. 178 - 188. ISSN: 2329-9290

Cao, S., Huang, H., Liu, R. and MacDonald, R. (2019) 'The term structure of exchange rate predictability: Commonality, scapegoat, and disagreement'. Journal of International Money and Finance, 95. pp. 379 - 401. ISSN: 0261-5606